AIMC Topic: Dyspnea

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Cardiorespiratory and metabolic demand of the 6-minute pegboard and ring test in healthy young adults.

Journal of bodywork and movement therapies Oct 9, 2021
OBJECTIVE: To determine the cardiorespiratory and metabolic demand of the Six-Minute Pegboard and Ring Test (6PBRT) in healthy young adults and its association with maximal arm cycle ergometer test (arm CET).
Exercise Test Humans Heart Rate Young Adult Arm Dyspnea Health Status Hand Strength Oxygen Consumption
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Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.

The Lancet. Digital health Jul 29, 2021
BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial intelligence models to identify possible infection foci. To date, these models have only considered the culmination or peak of symptoms, which is not s...
SARS-CoV-2 Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Artificial Intelligence Pandemics COVID-19 Prospective Studies Female Chest Pain Dyspnea United Kingdom Early Diagnosis Epidemiologic Studies Anosmia Humans Male Middle Aged Adolescent Mobile Applications Models, Biological Self Report
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App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning.

PloS one Mar 25, 2021
BACKGROUND: Tests are scarce resources, especially in low and middle-income countries, and the optimization of testing programs during a pandemic is critical for the effectiveness of the disease control. Hence, we aim to use the combination of sympto...
Mobile Applications Registries Fever Self Report COVID-19 Testing Dyspnea False Negative Reactions False Positive Reactions Risk Female Anosmia Humans SARS-CoV-2 Adult Machine Learning Male COVID-19 Middle Aged Brazil Retrospective Studies
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Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.

World neurosurgery Nov 16, 2020
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...
Risk Assessment Respiration, Artificial Weight Loss Hypertension Body Mass Index Bayes Theorem Female Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Spinal Neoplasms Multivariate Analysis Odds Ratio Serum Albumin Mortality Preoperative Care Ascites Hypoalbuminemia Dyspnea Blood Coagulation Disorders Smoking Metastasectomy Humans Machine Learning Laminectomy
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Dyspnea, effort and muscle pain during exercise in lung transplant recipients: an analysis of their association with cardiopulmonary function parameters using machine learning.

Respiratory research Oct 15, 2020
BACKGROUND: Despite improvement in lung function, most lung transplant (LTx) recipients show an unexpectedly reduced exercise capacity that could be explained by persisting peripheral muscle dysfunction of multifactorial origin. We analyzed the cours...
Exercise Tolerance Male Humans Dyspnea Middle Aged Machine Learning Myalgia Exercise Prospective Studies Exercise Test Female Lung Transplantation Transplant Recipients Adult Cross-Sectional Studies
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Identification of Risk Factors and Symptoms of COVID-19: Analysis of Biomedical Literature and Social Media Data.

Journal of medical Internet research Oct 2, 2020
BACKGROUND: In December 2019, the COVID-19 outbreak started in China and rapidly spread around the world. Lack of a vaccine or optimized intervention raised the importance of characterizing risk factors and symptoms for the early identification and s...
Headache Coronavirus Infections Data Collection Dyspnea Fatigue Diarrhea Oxygen Inhalation Therapy Myalgia Antiviral Agents Betacoronavirus COVID-19 Humans Social Media Pneumonia, Viral Retrospective Studies Machine Learning Cough SARS-CoV-2 Pandemics Publications Risk Factors Fever Disease Outbreaks
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Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.

Circulation. Arrhythmia and electrophysiology Aug 4, 2020
BACKGROUND: Identification of systolic heart failure among patients presenting to the emergency department (ED) with acute dyspnea is challenging. The reasons for dyspnea are often multifactorial. A focused physical evaluation and diagnostic testing ...
Diagnosis, Computer-Assisted Electrocardiography Predictive Value of Tests Emergency Medical Services Signal Processing, Computer-Assisted Dyspnea Ventricular Dysfunction, Left Heart Failure, Systolic Systole Cardiology Service, Hospital Reproducibility of Results Aged Male Ventricular Function, Left Stroke Volume Middle Aged Humans Artificial Intelligence Retrospective Studies Female
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Applying Artificial Intelligence to ECG Analysis: Promise of a Better Future.

Circulation. Arrhythmia and electrophysiology Aug 4, 2020
Humans Artificial Intelligence Algorithms Electrocardiography Emergency Service, Hospital Dyspnea
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Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph for the differential diagnosis of dyspnea.

Frontiers of medicine Jul 16, 2020
Dyspnea is one of the most common manifestations of patients with pulmonary disease, myocardial dysfunction, and neuromuscular disorder, among other conditions. Identifying the causes of dyspnea in clinical practice, especially for the general practi...
Dyspnea Humans Artificial Intelligence Pilot Projects Causality Diagnosis, Differential
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Alkaline Phosphatase Hematocrit Dyspnea Sex Factors Body Height Aging Algorithms Humans Alcohol Drinking Female Serum Globulins Longitudinal Studies Machine Learning Middle Aged Adult Risk Assessment Pulmonary Disease, Chronic Obstructive Age Factors Lung Male Cough Cohort Studies Spirometry Forced Expiratory Volume Electrocardiography Triglycerides Cigarette Smoking Serum Albumin Leukocyte Count Vital Capacity Bronchodilator Agents
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